How McKinsey's Workforce Is Adapting to AI

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0:35The versatile Equinox tackles your entire day. The spacious Traverse fits your crew and your whole weekend. And Trax brings style with value you can count on. All infused with tech that has your back. So your drive always hits the right chord. Chevrolet. Together let's drive. I do think we're going to be in this period where really enterprise fundamentally changing themselves. Yes, enormous potential. It's going to take a little while to get there. So then you kind of say, okay, what does that mean for McKinsey? We're applying this to ourselves. And I often get asked, how big is McKinsey? My latest answer to you would be 60 ,000, but it's 40 ,000 humans and 20 ,000 agents.

1:20A little over a year and a half ago, that was 3 ,000 agents. And I originally thought it was going to take us to 2030 to get to one agent per human. I think we're going to be there in 18 months. And we're going to have a workforce that is human and agentic. How do we kind of navigate that? The other big piece is how does it change our model? We're coming around to the conviction that we're migrating pretty quickly away from what's called pure advisory work, which was a lot of the origins of our firm. And it's moving to much more of an outcomes-based model where we say, look, let's identify a joint business case together and we will underwrite the outcomes of that business case.

2:02And it aligns our interests with our clients a lot more. And I think will be the way of the future, particularly as we tackle more and more complicated questions about enterprise change intermersed with technology, which is what we're seeing we're tripping into.